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Masking Models and Watermarking: A Discussion on Methods and Effectiveness
Abstract
Many audio watermarking techniques, presented in the last years, make use of masking and psychological models derived from signal processing. Such a basic idea is winning because it guarantees a high level of robustness and bandwidth of the watermark as well as fidelity of the watermarked signal. This work first describes the relationship between Digital Right Management, Intellectual Property, and use of watermarking techniques. Then, the crossing use of watermarking and Masking Models is detailed, providing schemes, examples, and references. Finally, the authors present two strategies that make use of a Masking Model, applied to a classic watermarking technique. The joint use of classic frameworks and Masking Models seems to be one of the trends for the future of research in watermarking. Several tests on the proposed strategies with the state of the art are also offered to give an idea of how to assess the effectiveness of a watermarking technique.
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